Triple

T37899562
Position Surface form Disambiguated ID Type / Status
Subject Hollywood Park mixed-use development E945370 entity
Predicate developerCompany P21964 FINISHED
Object Kroenke Sports & Entertainment NE NERFINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Kroenke Sports & Entertainment | Statement: [Hollywood Park mixed-use development, developerCompany, Kroenke Sports & Entertainment]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: developerCompany
Context triple: [Hollywood Park mixed-use development, developerCompany, Kroenke Sports & Entertainment]
  • A. majorDeveloper chosen
    Indicates that an entity is a primary or leading developer responsible for creating or significantly contributing to another entity.
  • B. developerSubsidiaryOf
    Indicates that a developer entity operates as a subsidiary under the ownership or control of another (parent) entity.
  • C. hasDevelopmentStudioIn
    Indicates that an entity has a development studio located in a specified place.
  • D. formerlyDevelopedBy
    Indicates that an entity was developed in the past by another entity, but is no longer developed by that same party.
  • E. companyTypeOfDeveloper
    Indicates that a given company is the type or category of organization that a particular developer belongs to or works for.
  • F. None of above.

Provenance (3 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69f76ef0e8708190987c7254ed8c7abe completed May 3, 2026, 3:51 p.m.
NER Named-entity recognition batch_69fe163a41a0819098403b470e327d29 completed May 8, 2026, 4:58 p.m.
PD Predicate disambiguation batch_69fe1358db5c819092570814a37ef5bd completed May 8, 2026, 4:46 p.m.
Created at: May 3, 2026, 4:19 p.m.